Instructions to use Rzoro/checkpoints_3_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rzoro/checkpoints_3_12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Rzoro/checkpoints_3_12") model = AutoModelForMultipleChoice.from_pretrained("Rzoro/checkpoints_3_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40032556d999f3e3939aac5662e57219082ecebdf4f24eeb506fe9799b5ba8a3
- Size of remote file:
- 4.16 kB
- SHA256:
- a60a165b988c564a496351793d70314dc2c755c07ded1a83a33dbb4ed21005b6
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